| XCSR based on compressed input by deep neural network for high dimensional data K Matsumoto, R Takano, T Tatsumi, H Sato, T Kovacs, K Takadama Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 15 | 2018 |
| Knowledge extraction from XCSR based on dimensionality reduction and deep generative models M Tadokoro, S Hasegawa, T Tatsumi, H Sato, K Takadama 2019 IEEE Congress on Evolutionary Computation (CEC), 1883-1890, 2019 | 13 | 2019 |
| XCSR learning from compressed data acquired by deep neural network K Matsumoto, T Tatsumi, H Sato, T Kovacs, K Takadama Journal of advanced computational intelligence and intelligent informatics …, 2017 | 8 | 2017 |
| Handling different level of unstable reward environment through an estimation of reward distribution in XCS T Tatsumi, T Komine, H Sato, K Takadama 2015 IEEE Congress on Evolutionary Computation (CEC), 2973-2980, 2015 | 7 | 2015 |
| Variance-based learning classifier system without convergence of reward estimation T Tatsumi, T Komine, M Nakata, H Sato, T Kovacs, K Takadama Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016 | 6 | 2016 |
| Local covering: adaptive rule generation method using existing rules for XCS M Tadokoro, S Hasegawa, T Tatsumi, H Sato, K Takadama 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 5 | 2020 |
| A learning classifier system that adapts accuracy criterion T TATSUMI, T KOMINE, M NAKATA, H SATO, K TAKADAMA 進化計算学会論文誌 (Web) 6 (2), 90-103, 2015 | 5 | 2015 |
| Xcs-cr: Determining accuracy of classifier by its collective reward in action set toward environment with action noise T Tatsumi, T Kovacs, K Takadama Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 4 | 2018 |
| SLIM Spacecraft Location Estimation by Crater Matching Based on Similar Triangles and Its Improvement H Ishii, A Murata, F Uwano, T Tatsumi, Y Umenai, K Takadama, T Harada, ... Aerospace Technology Japan 17, 69-78, 2018 | 4 | 2018 |
| Automatic adjustment of selection pressure based on range of reward in learning classifier system T Tatsumi, H Sato, K Takadama Proceedings of the Genetic and Evolutionary Computation Conference, 505-512, 2017 | 4 | 2017 |
| XCS-CR for handling input, output, and reward noise T Tatsumi, K Takadama Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 3 | 2019 |
| How to Detect Essential Craters in Camera Shot Image for Increasing the Number of Spacecraft Location Candidates while Improving Its Estimation Accuracy? H Ishii, Y Umenai, K Matsumoto, F Uwano, T Tatsumi, K Takadama, ... The 14th International Symposium on Artificial Intelligence, Robotics and …, 2018 | 3 | 2018 |
| Learning Classifier System Based on Mean of Reward T Tatsumi, H Sato, K Takadama Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2017 | 2 | 2017 |
| Applying variance-based learning classifier system without convergence of reward estimation into various reward distribution T Tatsumi, H Sato, T Kovacs, K Takadama 2017 IEEE Congress on Evolutionary Computation (CEC), 2630-2637, 2017 | 2 | 2017 |
| Comparison of Statistical Table-and Non-Statistical Table-based XCS in Noisy Environments T Tatsumi, K Takadama 2019 IEEE Congress on Evolutionary Computation (CEC), 1875-1882, 2019 | 1 | 2019 |
| Acquiring Classifiers for Bipolarized Reward by XCS in a Continuous Reward Environment T Tatsumi, K Takadama SICE Journal of Control, Measurement, and System Integration 12 (3), 124-132, 2019 | 1 | 2019 |
| How to select appropriate craters to estimate location accurately in comprehensive situations for slim project F Uwano, T Tatsumi, A Murata, K Takadama, H Kamata, T Ishida, ... the 32nd International Symposium on Space Technology and Science (ISTS 2019 …, 2019 | 1 | 2019 |
| Study of Analytical Methods on the Relationship between Sleep Quality and Stress with a focus on Human Circadian Rhythm R Takano, S Hasegawa, Y Umenai, T Tatsumi, K Takadama, T Shimuta, ... 2018 AAAI Spring Symposium Series, 2018 | 1 | 2018 |
| Approach to Clustering with Variance-Based XCS C Zhang, T Tatsumi, M Nakata, K Takadama Journal of advanced computational intelligence and intelligent informatics …, 2017 | 1 | 2017 |
| The robust spacecraft location estimation algorithm toward the misdetection crater and the undetected crater in SLIM H Ishii, K TAKADAMA, A MURATA, F UWANO, T TATSUMI, Y UMENAI, ... ISTS, 2017 | 1 | 2017 |
